• Duration: January, 2024 – December, 2024
  • Research topics: Medical Text Analysis, Machine Learning & Deep Learning, LLMs

This research aims to investigate ChatGPT’s natural language inference (NLI) capabilities in healthcare contexts, focusing on tasks like understanding clinical trial information and evidence-based health fact-checking. We will explore various Chain-of-Thought methods to improve ChatGPT’s reasoning abilities and integrate dynamic context analysis techniques for better inference accuracy. Our approach involves integrating a retrieval-augmented generation framework, utilizing mechanisms such as context analysis, multi-hop reasoning, and knowledge retrieval.

Siting Liang from IML presents the Autoprompt Project

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